golden hour

/lib64/python3.9/site-packages/setools

File/Folder	Size	Actions
__init__.py	3.24 KB
__pycache__	-
boolquery.py	1.7 KB
boundsquery.py	1.8 KB
categoryquery.py	1.34 KB
checker	-
commonquery.py	1.58 KB
constraintquery.py	4.99 KB
defaultquery.py	2.29 KB
descriptors.py	9.7 KB
devicetreeconquery.py	2.22 KB
diff	-
dta.py	22.67 KB
exception.py	5.96 KB
fsusequery.py	2.8 KB
genfsconquery.py	3.18 KB
ibendportconquery.py	3.05 KB
ibpkeyconquery.py	4.89 KB
infoflow.py	15.54 KB
initsidquery.py	2.25 KB
iomemconquery.py	4 KB
ioportconquery.py	4.02 KB
mixins.py	6.82 KB
mlsrulequery.py	4.09 KB
netifconquery.py	2.4 KB
nodeconquery.py	3.9 KB
objclassquery.py	3.27 KB
pcideviceconquery.py	2.58 KB
perm_map	84.1 KB
permmap.py	16.2 KB
pirqconquery.py	2.48 KB
polcapquery.py	1.12 KB
policyrep.cpython-39-x86_64-linux-gnu.so	1.45 MB
policyrep.pyi	51.03 KB
portconquery.py	4.77 KB
py.typed	0 B
query.py	1.24 KB
rbacrulequery.py	5.33 KB
rolequery.py	1.95 KB
sensitivityquery.py	2.22 KB
terulequery.py	8.73 KB
typeattrquery.py	2.11 KB
typequery.py	2.95 KB
userquery.py	4.19 KB
util.py	7.59 KB

Edit: sensitivityquery.py

# Copyright 2015, Tresys Technology, LLC
#
# SPDX-License-Identifier: LGPL-2.1-only
#
import logging
from typing import Iterable

from .descriptors import CriteriaDescriptor
from .mixins import MatchAlias, MatchName
from .policyrep import Sensitivity
from .query import PolicyQuery
from .util import match_level

class SensitivityQuery(MatchAlias, MatchName, PolicyQuery):

"""
    Query MLS Sensitivities

Parameter:
    policy       The policy to query.

Keyword Parameters/Class attributes:
    name         The name of the category to match.
    name_regex   If true, regular expression matching will
                 be used for matching the name.
    alias        The alias name to match.
    alias_regex  If true, regular expression matching
                 will be used on the alias names.
    sens         The criteria to match the sensitivity by dominance.
    sens_dom     If true, the criteria will match if it dominates
                 the sensitivity.
    sens_domby   If true, the criteria will match if it is dominated
                 by the sensitivity.
    """

sens = CriteriaDescriptor(lookup_function="lookup_sensitivity")
    sens_dom: bool = False
    sens_domby: bool = False

def __init__(self, policy, **kwargs) -> None:
        super(SensitivityQuery, self).__init__(policy, **kwargs)
        self.log = logging.getLogger(__name__)

def results(self) -> Iterable[Sensitivity]:
        """Generator which yields all matching sensitivities."""
        self.log.info("Generating sensitivity results from {0.policy}".format(self))
        self._match_name_debug(self.log)
        self._match_alias_debug(self.log)
        self.log.debug("Sens: {0.sens!r}, dom: {0.sens_dom}, domby: {0.sens_domby}".format(self))

for s in self.policy.sensitivities():
            if not self._match_name(s):
                continue

if not self._match_alias(s):
                continue

if self.sens:
                if self.sens_dom:
                    if self.sens < s:
                        continue
                elif self.sens_domby:
                    if self.sens > s:
                        continue
                elif self.sens != s:
                    continue

yield s